Profile in Computational Imagination: Jonah Gabry

Jonah Gabry, Statistician and developer with the Stan team at Columbia University, tells the story of how someone steeped in the
Humanities; touring musician, Spanish literature and Latin American history ends up developing tools for Bayesian analysis.
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By day Łukasz Kidziński & Michał Warchoł are researchers at European universities. By night and weekends they are busy popularizing
Deep Dream algorithms. They make it fun and easy for people with no knowledge of machine learning to generate their very own custom
algorithmic art mash-ups. In this interview we talk about their journey with deepart.io and how industry and academic worlds meet in their work.
Don't miss Łukasz' assertion that github is a "better validation of of scientific value than any journal peer-review process."
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Profile in Computational Imagination: Rob Trangucci

Rob Trangucci, Senior Data Scientist at iSentium, shares insights from both his work as a developer of quantitative trading models and his open source development work while at
Columbia working in Andy Gelman's lab. Trace Rob's career path from undergraduate physics to management consultant, grad student and now data scientist and what he is learning next.
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Profile in Computational Imagination: Dr. Jon Krohn

Jon Krohn is Chief Data Scientist for untapt a NYC based start-up. We trace Jon's journey from PhD in Neuroscience through hedge fund land, on to advertising research and into his current role
building models for matching up engineering talent in FinTech with opportunities. Learn what ties these diverse fields together for Jon.
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Profile in Computational Imagination: Tim Hopper

Tim Hopper is a data scientist who started out in History of Mathematics. Read this interview to learn about his journey through academia and into industry. In this interview he also
shares what tools he is using and how software development and data science teams can actually thrive in distributed team environments.
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Profile in Computational Imagination: John D. Cook

John D. Cook was doing data science before it had a name. An applied mathematics post doc who migrated into software development in the oil industry,
then on to MD Anderson as research statistician working on adaptive clinical trials. John is on his own now, but continuing to
contribute intelligent and yet accessible insights
at the intersection of software development and statistics. In our interview, John comments on his career, making the transition from academia to
industry, tools, languages and trends. Read an edited version of our conversation to learn more about him and his computational imagination. more ...

Know someone I should interview?

Michael Swenson: I created Computational Imagination as a place to write about concepts and people
who exhibit the ability to think about the world
through the lens of measurement, mathematics, simulation, statistics
or computation and discover new structure and relationships or create new kinds of value.